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Published on: December 10, 2011
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A LAMP Detection System Based on a Microfluidic Chip for Pyricularia grisea
Chenda Wu1, Jianing Cheng2, Yinchao Zhang1
1College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China.
Sensors (Basel, Switzerland)
|April 26, 2025
Summary
A new microfluidic system rapidly detects the rice blast pathogen, Pyricularia grisea, in under 45 minutes. This portable device offers accurate and sensitive detection for effective disease control.
Area of Science:
- Agricultural Science
- Biotechnology
- Plant Pathology
Background:
- Rice blast, caused by Pyricularia grisea, is a major global threat to rice yield and quality.
- Accurate and rapid detection of Pyricularia grisea is crucial for effective rice blast management.
Purpose of the Study:
- To develop an integrated, portable microfluidic detection system for rapid and sensitive identification of Pyricularia grisea.
- To improve detection efficiency and reduce reagent loss using microfluidic chip design.
Main Methods:
- Development of an integrated microfluidic system incorporating a microfluidic chip, temperature control module, and OpenMv camera.
- Utilized micro-mixing channels with shear structures for enhanced mixing (approx. 98%) and flow-blocking valves to minimize reagent loss.
- Employed the Loop-mediated Isothermal Amplification (LAMP) method for DNA detection at a stable temperature of 65 °C.
Main Results:
- The microfluidic system achieved a detection range of 10 copies/μL to 10^5 copies/μL for Pyricularia grisea.
- Detection was completed within 45 minutes, demonstrating rapid results.
- Specificity and interference experiments confirmed the high reliability and accuracy of the developed detection method.
Conclusions:
- The integrated microfluidic LAMP detection system provides a rapid, sensitive, and reliable method for Pyricularia grisea detection.
- This system holds significant potential for early and effective management of rice blast disease.
- The portable nature of the system facilitates on-site detection and disease control strategies.

